HIGHLIGHTS
- who: Kristina Yordanova et al. from the Department of Computer Science, University of Rostock, Rostock, Germany have published the Article: Analysing Cooking Behaviour in Home Settings:, in the Journal: (JOURNAL)
- what: The results show that the approach is able to reason about the person's cooking actions. The authors compare CCBM to state-of-the-art approaches such as Hidden Markov Models (HMM) and decision trees (DT). While rule-based approaches provide additional unobserved information, they have two main disadvantages when modelling problems in unscripted settings: (a) behaviour complexity and variability results in large models . . .
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